Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1235399F035A375EE10D38AC1F9E0AA9953829173DB9702D0AD84CB97AC94DC39D4A77C |
|
CONTENT
ssdeep
|
768:XJZrKO2kUwZvpCmJfcSIY5mXs2vwtuZ+R1YE73N7OJgFlXoeodAujkJ8zR7jEuxf:XJZrX2knqSI15I1YED9XDMNjkJCxYpaJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9616e969e9b29686 |
|
VISUAL
aHash
|
000406060000ffff |
|
VISUAL
dHash
|
934c6c4ce3f20ccc |
|
VISUAL
wHash
|
ff062e060000ffff |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
008081f4b4b08100,88800c8e8e8e8080,100c4d0e0c2ad4c8,134c6c6c4ce3e208 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.